Risk Lead

at Barclays Bank Delaware in Wilmington, Delaware, United States

Job Description

Barclays Bank Delaware seeks a Risk Lead for its Wilmington, DE 19801 location.

Duties: (Multiple positions open) Perform statistical analysis and utilize comprehensive knowledge of analytical skills to perform quantitative and qualitative analysis and research to create strategies for credit underwriting decisions (approve/decline, price and credit limit), marketing channel optimization and targeting, product analytics, segmentation, and management information and data management. Develop Valuation Engines using Machine Learning statistical methods for all consumer and business card portfolios. Build account level valuation to support profit maximization. Work with Finance, Decision Science, Risk and Fraud teams to acquire inputs to the valuations model. Ensure accurate valuations can be created in the stipulated time lines. Conduct semi-annual valuation updates for all the Cards products and Loan products. Present valuation findings to senior leadership team and address the Check and Challenge questions from 2LOD (second line of defense) team. Perform outcome analysis, including back testing and benchmarking, for annual model performance review. Develop new loss forecast models and forecast credit losses at regular intervals for US portfolio and provide summarized findings to various levels of stakeholders and management to help drive business key accountabilities. Utilize knowledge of Loan Loss Reserve (LLR) calculation and IFRS9 (International Financial Reporting Standard 9) and change loss methodology for calculation of expected credit losses on consumer portfolios. Mentor junior colleagues and manage vendor team.

Requirements: Master’s degree or foreign equivalent in Statistics, Engineering, Economics, Mathematics, Finance, or closely related quantitative field and 2 years of experience in the position offered or as a Strategic Analytics Analyst, Credit Analyst, Risk Analyst, or closely related occupation, in the credit card/banking industry. In the alternative, will accept Bachelor’s degree in specified fields and 5 years of experience in the specified occupations. Any suitable combination of education, experience or training is acceptable. Demonstrated experience must include: Utilizing knowledge of credit card business and statistical modeling techniques to evaluate and develop strategies; Utilizing statistical techniques, including linear regression and segmentation (CHAID) analysis and loss forecasting, to develop credit/risk underwriting and line assignment strategies for acquisition and portfolios management and creating predictive models for target variables and pricing strategies; Utilizing SAS/SQL programming languages to retrieve and analyze internal and external data for advanced statistical analysis, business forecasting, performance reporting, and decision support; Performing analysis and reporting of actuals data and process for business/strategy development; Utilizing knowledge of LLR calculation and IFRS9 and changing loss methodology to measure expected credit loss; Utilizing Machine Learning techniques, such as Nearest Neighborhood algorithm, to forecast customer product usage behavior; and Utilizing statistical modeling techniques, such as Monte Carlo simulation and Nearest Neighborhood algorithm, to create valuation models for the credit card portfolio. 40 hrs/wk. To apply, visit:, and enter the job number 00278196.

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Job Posting: 898783

Posted On: May 06, 2022

Updated On: Jun 15, 2022